zceng/LVCNet
LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation
LVCNet creates highly realistic human speech from text. It takes in mel-spectrograms (a visual representation of audio) and outputs natural-sounding audio waveforms at more than five times the speed of previous methods, without losing quality. This is for developers building speech synthesis applications who need to generate high-quality spoken audio quickly.
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Use this if you are a developer looking for a fast and efficient way to synthesize high-quality speech from text input, maintaining audio fidelity.
Not ideal if you need a pre-built, ready-to-use text-to-speech application for end-users, as this requires development work.
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80
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16
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 24, 2021
Commits (30d)
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